確率共鳴を用いたオートチューニング画像強調法の提案

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/11/01

タイトル(英語): Proposing Auto-tuning Image Enhancement Method using Stochastic Resonance

著者名: 小島　範子（足利大学（旧 足利工業大学）），ビカス　ラムサル（鹿島建設（株） 技術研究所），松本　直文（足利大学（旧 足利工業大学）），山城　光雄（足利大学（旧 足利工業大学））

著者名(英語): Noriko Kojima (Ashikaga University), Bikash Lamsal (KAJIMA Corporation, Technical Research Institute), Naofumi Matsumoto (Ashikaga University), Mitsuo Yamashiro (Ashikaga University)

キーワード: 画像強調，厳しい撮影条件，確率共鳴，パラメータオートチューニング，顔検出　　image enhancement，severe photographing condition，stochastic resonance，parameter auto-tuning，face detection

要約(英語): This paper is associated with an auto-tuning stochastic resonance approach for image enhancement on illumination variant images. This new process is being developed based on our previous works related to image enhancement by using stochastic resonance (SR) by using the manual tuning process. The process was performed by adding the random noise and threshold 0 in an image. The process works properly in the dark and very low contrast images as well as bright images based and mixed illumination variant images. This system works on the images with the mixture of darkness and brightness. We also present the idea of auto-tuning of the iteration with random noise and threshold value 0 by using the process related to the histogram calculation or mean and median. We performed various experiments on various types of images including human faces under different conditions and confirmed the effectiveness of our image enhancement technique.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.11 （2018） 特集：電気関係学会関西連合大会

本誌掲載ページ: 1425-1434 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/11/138_1425/_article/-char/ja/